Using syntactic distributional patterns for data-driven answer extraction from the Web

Alejandro Figueroa, John Atkinson

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In this work, a data-driven approach for extracting answers from web-snippets is presented. Answers are identified by matching contextual distributional patterns of the expected answer type(EAT) and answer candidates. These distributional patterns are directly learnt from previously annotated tuples {question, sentence, answer}, and the learning mechanism is based on the principles language acquisition. Results shows that this linguistic motivated data-driven approach is encouraging.

Idioma originalInglés
Título de la publicación alojadaMICAI 2006
Páginas985-995
Número de páginas11
Volumen4293 LNAI
EstadoPublicada - 2006
Evento5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence - Apizaco, México
Duración: 13 nov 200617 nov 2006

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen4293 LNAI
ISSN (versión impresa)03029743
ISSN (versión digital)16113349

Otros

Otros5th Mexican International Conference on Artificial Intelligence, MICAI 2006: Advances in Artificial Intelligence
País/TerritorioMéxico
CiudadApizaco
Período13/11/0617/11/06

Áreas temáticas de ASJC Scopus

  • Informática (todo)
  • Bioquímica, genética y biología molecular (todo)
  • Ciencia computacional teórica

Huella

Profundice en los temas de investigación de 'Using syntactic distributional patterns for data-driven answer extraction from the Web'. En conjunto forman una huella única.

Citar esto